Data Science Major

Data science is a rapidly growing field.  This major offers an exciting blend of statistical inquiry, analysis, and interpretation, combined with computational processing and algorithmic techniques to leverage domain-specific data into accountable and well-informed decision-making. In addition to the departmental requirements below, a student must complete the University Core Curriculum, the College of Liberal Arts and Sciences language requirement, and other general requirements.

Mathematics Courses:
MA 106 Calculus & Analytic Geometry I
MA 107 Calculus & Analytic Geometry 2
MA 162 Elementary Statistics
MA 310 Linear Algebra
MA 360 Probability Theory I
MA 361 Statistical Theory
MA 362 Linear Regression & Time Series
MA 369 Multivariate Statistical Methods
MA 468 Predictive Analytics & Data Mining

Computer Science Courses:
CS 151 Foundations of Computing I
CS 248 Object-Oriented Programming & Data Structures
CS 252 Foundations of Computing II
CS 333 Database Systems
CS 341 Advanced Data Structures
CS 351 Algorithms
CS 445 Artificial Intelligence
CS 485 Computer Ethics

 

Fall Spring
First Year MA 106
MA 162
CS 142
CS 151
FYS
MA 107
CS 248
CS 252
FYS
Core Class
Second Year MA 310
MA 360
CS 333 (fall or spring)
Foreign Language
GHS
MA 361
Foreign Language
GHS
Third Year
Odd fall/even spring
MA 362
MA 369
CS 341 (fall or spring)
MA 468
CS 485 (fall or spring)
Fourth Year
Even fall/odd spring
CS 351 CS 445
Third Year
Even fall/odd spring
MA 362
CS 341 (fall or spring)
CS 485 (fall or spring)
Fourth Year
Odd fall/even spring
MA 369
CS 351
MA 468
CS 445

Data Science FAQs

Yes, Data Science is a STEM degree. Data Science requires the integration of mathematics, engineering, and technology. Butler’s interdisciplinary Data Science Major applies scientific methods, algorithms, and processes to obtain knowledge and understanding of transforming data into actionable insights. 

Graduates from Butler with a Data Science degree are proficient with the mathematical, statistical, and computer programing tools necessary to broaden their disciplinary education or pursue data-driven careers. Some of these jobs include but are not limited to:

  • Data Analyst
  • Software Engineer
  • Business Intelligence Developer
  • Database Administrator
  • Statistician
  • Data Architect